{"id":"W2739212292","doi":"","title":"Ce dont témoigne l’image / That Which the Image Bespeaks","year":2012,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Semiotics and Representation Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer vision; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003944824,0.001142321,0.0006541365,0.001530834,0.00727248,0.01539545,0.001149605,0.005332334,0.02877374],"category_scores_gemma":[0.01670147,0.0004267262,0.0005578609,0.0008742902,0.02983909,0.01615521,0.004210455,0.01219109,0.01043342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004607551,"about_ca_system_score_gemma":0.002582531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117016,"about_ca_topic_score_gemma":0.01078147,"domain_scores_codex":[0.995626,0.001878569,0.0001070461,0.000559308,0.001393581,0.0004354064],"domain_scores_gemma":[0.9958757,0.001301687,0.0003283067,0.0006786771,0.001376473,0.0004392458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005043931,0.0000472968,0.000584398,0.0001109513,0.00002124659,0.0003424451,0.02549791,0.00008447108,0.001107551,0.8928003,0.06343471,0.01591827],"study_design_scores_gemma":[0.0000198315,0.00002024435,0.0005122333,0.0002528504,0.00001172128,0.0007586033,0.02601946,0.0001949227,0.001122895,0.09436098,0.8766808,0.00004545466],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01608186,0.004470303,0.01263307,0.110439,0.009073406,0.00006048435,0.0001532716,0.0003341545,0.8467546],"genre_scores_gemma":[0.5125446,0.004415869,0.008314723,0.0337085,0.004269141,0.0001843054,0.0002201148,0.001925563,0.4344172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02877374,"threshold_uncertainty_score":0.09625769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818703934885678,"score_gpt":0.2689542075676788,"score_spread":0.230767168218822,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}